Gen/Agentic AI Engineer

About the role

Role: Gen/Agentic AI Engineer

Location: Irving, TX, Tampa, FL

Full Time

Job Description

In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below:

• Develop data preparation tasks, while identifying patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.
• Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.
• Design and develop predictive models and data-driven analyses to address business challenges.
• Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.
• Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.
• Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.
• Proactively maintain models and implement improvements for accuracy and reliability.
• Apply governance controls to mitigate risks and ensure compliance.
• Analyze performance trends, recommend improvements, and document discrepancies for escalation.
• Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.
• Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.
• Apply the predefined quality measurement framework at an individual task level in the project.
• Deploy complex analytics tools or multi-system integration, while validating deployment success.
• Participate in developing scripts or templates for repeated deployments tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.
• Participate in and deliver analytics training, while contributing to content creation.
• Provide input for segment and unit-level business plans.

Your contribution to the team:

• Deliver scalable, high-quality analytics solutions aligned to business needs.
• A knack for optimization, deployment and performance improvement of models.
• The ability to drive innovation through advanced analytics, automation and thought leadership.
• Enable team growth through knowledge sharing, training and standardization.
• Support business planning with data-driven insights.

Required Skill and Experience

•Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras).

•Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA).

•Exposure to RAG systems and basic knowledge of hybrid search techniques.

•Understanding of model deployment and containerization (Docker).

•Proficiency in Python for AI development, data preprocessing, and scripting.

•Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.

•Understanding of version control systems (Git).

•Awareness of AI compliance, data privacy, and responsible AI principles.

Preferred Skill and Experience

Experience in Big Data technologies (e.g., BigQuery, Hadoop), ML model development, data engineering, and software engineering principles. Knowledge of MLOps and AI/ML deployment (e.g., SageMaker, Snowflake). Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts.

EEO/About Us

Benefits

Along with competitive pay, as a full-time employee you are also eligible for the following benefits:

Medical/Dental/Vision/Life Insurance

Long-term/Short-term Disability

Health and Dependent Care Reimbursement Accounts

Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)

401(k) plan and contributions depen